BOLT: A Bayesian Online Learning Framework for Time Sensitive Networks in Metaverse-Reference-Cited by-同舟云学术

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BOLT: A Bayesian Online Learning Framework for Time Sensitive Networks in Metaverse

Published:2023-09-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Intelligent Metaverse Technologies & Applications (iMETA)
language:
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Author:

Balasubramanian Venkatraman¹,Bouachir Ouns²,Al-Habashna Ala'a³

Affiliation:

1. School of Electrical, Computer, and Energy Engineering, Arizona State University,Tempe,AZ,85287-5706

2. College of Technological Innovation (CTI), Zayed University,UAE

3. Carleton University,The Department of Systems and Computer Engineering,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10294328/10294334/10294503.pdf?arnumber=10294503

Reference10 articles.

1. Realizing the Metaverse in the 6G Era with AI-Enabled Network Orchestration

2. Sdnrl: A reinforcement learning approach for dynamic flow management in software-defined networks;Zhang;IEEE Access,2020

3. Sdn-rl: A deep reinforcement learning framework for dynamic traffic engineering in sdn;Liu;IEEE Access,2020

4. Rl-sdn: Reinforcement learning for software-defined networking;Cui;IEEE Transactions on Network and Service Management,2020

5. Reinforcement learning-based resource allocation in software-defined vehicular networks;Luo;IEEE Transactions on Intelligent Transportation Systems,2020

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